Nitya Sharma

55 total papers · 785 total citations
34 papers, 570 citations indexed

About

Nitya Sharma is a scholar working on Molecular Biology, Plant Science and Organic Chemistry. According to data from OpenAlex, Nitya Sharma has authored 34 papers receiving a total of 570 indexed citations (citations by other indexed papers that have themselves been cited), including 14 papers in Molecular Biology, 11 papers in Plant Science and 5 papers in Organic Chemistry. Recurrent topics in Nitya Sharma's work include Enzyme Catalysis and Immobilization (8 papers), Protein purification and stability (4 papers) and Enzyme Production and Characterization (4 papers). Nitya Sharma is often cited by papers focused on Enzyme Catalysis and Immobilization (8 papers), Protein purification and stability (4 papers) and Enzyme Production and Characterization (4 papers). Nitya Sharma collaborates with scholars based in India, United States and Türkiye. Nitya Sharma's co-authors include Tek Chand Bhalla, Monica Sharma, Vandana Chaudhary, Fatih Özoğul, Sneh Punia Bangar, Priyanka Kajla, Maninder Meenu, Vinod Kumar, Sudha Rana and Monika Garg and has published in prestigious journals such as Food Hydrocolloids, Journal of Pharmaceutical Sciences and Vaccine.

In The Last Decade

Nitya Sharma

29 papers receiving 555 citations

Author Peers

Peers are selected by citation overlap in the author's most active subfields. citations · hero ref

Author Last Decade Papers Cites
Nitya Sharma 270 96 95 75 74 34 570
Xianyan Liao 340 1.3× 102 1.1× 106 1.1× 42 0.6× 38 0.5× 34 615
Jianyong Zheng 420 1.6× 113 1.2× 84 0.9× 51 0.7× 29 0.4× 45 679
F. La Cara 226 0.8× 129 1.3× 115 1.2× 137 1.8× 37 0.5× 30 554
Maria Manuela Camino Feltes 356 1.3× 67 0.7× 158 1.7× 53 0.7× 40 0.5× 26 631
Isabelle Grondin 164 0.6× 120 1.3× 156 1.6× 84 1.1× 110 1.5× 24 657
Asao Hosoda 196 0.7× 98 1.0× 102 1.1× 62 0.8× 166 2.2× 32 591
Aleksandra Grudniewska 186 0.7× 115 1.2× 91 1.0× 45 0.6× 58 0.8× 29 508
Catherina Caballero‐George 207 0.8× 136 1.4× 56 0.6× 44 0.6× 53 0.7× 31 645
Ayşe Ogan 323 1.2× 72 0.8× 41 0.4× 109 1.5× 102 1.4× 39 670
Zhenglian Xue 257 1.0× 77 0.8× 60 0.6× 54 0.7× 50 0.7× 56 508

Countries citing papers authored by Nitya Sharma

Since Specialization
Citations

This map shows the geographic impact of Nitya Sharma's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Nitya Sharma with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Nitya Sharma more than expected).

Fields of papers citing papers by Nitya Sharma

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Nitya Sharma. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Nitya Sharma. The network helps show where Nitya Sharma may publish in the future.

Co-authorship network of co-authors of Nitya Sharma

This figure shows the co-authorship network connecting the top 25 collaborators of Nitya Sharma. A scholar is included among the top collaborators of Nitya Sharma based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Nitya Sharma. Nitya Sharma is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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